CN113111478A - Method and equipment for evaluating mixed connection, inflow and infiltration degree of drainage system pipe network - Google Patents
Method and equipment for evaluating mixed connection, inflow and infiltration degree of drainage system pipe network Download PDFInfo
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Abstract
The invention relates to a method and equipment for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network, belonging to the technical field of urban drainage pipe network efficiency analysis and evaluation. In the invention, the mixed connection and inflow and infiltration degree and inflow and infiltration conditions of the whole system or a node upstream system are judged according to the water quality condition of a discharge port at the tail end of a pipeline or a midway node; when mixed connection, inflow and infiltration conditions occur at any node in the drainage system, a water quality sample at a discharge port at the tail end of the pipeline or a midway node is detected, so that the mixed connection of rain and sewage or inflow and infiltration conditions of rainwater, underground water and even surface water in the drainage system are evaluated qualitatively or quantitatively. According to the invention, two water quality characteristic factors are monitored only at the discharge port end or the midway node of the pipeline, compared with other methods, the method does not need large-range detection, saves the fund and resource investment, and is quick, efficient and economical.
Description
Technical Field
The invention belongs to the technical field of urban drainage pipe network analysis and evaluation, and particularly relates to a method and equipment for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network.
Background
In recent years, the distribution system drainage system of rain and sewage is greatly promoted in China, and due to the incompleteness of public consciousness, planning, construction, operation and related link management systems, the distribution system drainage system implemented by the planning and construction of various cities can not generally distribute rain and sewage in hundreds of percent, rain and sewage pipelines are connected in a mixed mode and in a misconnection mode, even the distribution system and the confluence system coexist, and the distribution system and the confluence system also become the normal phenomenon of the urban drainage system in China. Moreover, due to the problems of old pipe networks, leakage and the like, rainwater inflow infiltration generally exists, and in high-groundwater-level areas, a large amount of groundwater and even surface water infiltrates and even flows into the pipe networks to occupy the space of the pipe networks. The sewage mixed connection and inflow and infiltration degree in the drainage pipeline system and the inflow and infiltration degree of underground water and surface water can be scientifically evaluated to help identify the overflow risk and the influence degree of the drainage port and guide the formulation of a proper drainage port overflow pollution comprehensive treatment strategy.
The current methods for evaluating the mixed connection, inflow and infiltration degree of a drainage system mainly comprise a water quantity balance method and a water quality characteristic parameter method. The water balance method can preliminarily estimate the overall mixed connection quantity, the overall mixed connection, inflow and infiltration degrees of the relatively independent drainage system, but has the following defects: the water quality verification is lacked, the water use condition is changed, or the intermittent and sudden steal and mixed connection condition is easy to be ignored or misjudged; the time is long, relatively long-term monitoring must be carried out, short-term monitoring data are not enough to support a judgment result, a large number of flowmeters need to be installed, time and labor are wasted, and the economical efficiency is low. The water quality characteristic factor method for judging the mixed grafting, inflow and infiltration degrees has the following defects: the uncertainty of water quality in a drainage system is ignored, and a large error is caused; besides the water quality data, the method also needs to continuously monitor the flow at multiple nodes, consumes a large amount of manpower and financial resources and has low economy.
Therefore, how to accurately, rapidly, economically and efficiently evaluate the mixed access, inflow and infiltration degree of the drainage system becomes a technical problem to be solved urgently in the prior art.
Disclosure of Invention
The invention provides a method and equipment for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network, which are used for accurately and quickly evaluating the mixed connection, inflow and infiltration degree of the drainage system.
The technical scheme provided by the invention is as follows:
on one hand, the method for evaluating the mixed connection, inflow and infiltration degree of the pipe network of the drainage system is characterized by comprising the following steps of:
primarily evaluating the mixed connection, inflow and infiltration conditions of a drainage system pipe network according to the water quality condition of a drainage port end or a midway node;
when mixed connection, inflow and infiltration exist at any node of the drainage system pipe network, detecting water quality samples of tail ends and midway nodes where the mixed connection, inflow and infiltration occur, qualitatively judging mixed connection reasons of the system where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method, and obtaining types of the system where the mixed connection, inflow and infiltration occur;
and quantitatively evaluating the percentage of mixed connection, inflow and infiltration based on the type and uncertainty model of the system, and determining the degree of mixed connection, inflow and infiltration of the drainage system pipe network.
Optionally, according to row mouth end or midway node quality of water condition, preliminary aassessment drainage system pipe network's misconnection and inflow, infiltration condition includes:
if the inspection well within the preset distance of the discharge port end or the midway node has no water flow in dry seasons, the drainage system where the discharge port end or the midway node is located does not have mixed connection or inflow infiltration; if the rainwater inspection well within the preset distance of the drainage port end has water flow in dry seasons, the drainage system in which the drainage port end is located has mixed connection or sewage pipeline communication;
when the drainage system where the drainage port end or the midway node is located is in mixed connection or pipeline communication, judging the relation between the water level of the inspection well and the water level of the parallel pipeline inspection well; if the water levels of the corresponding inspection wells are equal or close, the corresponding rain sewage pipelines are obviously in mixed connection or communication; if the water level difference of the inspection well is larger than a preset water level threshold value, sewage mixed connection or underground water infiltration exists in the drainage system;
mixed connection or inflow and infiltration of external water exist in the drainage system, and if the water in the inspection well is smelly and turbid, the drainage system is preliminarily judged to be a drainage system mainly in a sewage/wastewater type; and if the water in the inspection well is odorless and clear, primarily judging that the drainage system is mainly a drainage system with inflow and infiltration of underground water.
Optionally, when mixed connection, inflow and infiltration exist at any node of the drainage system pipe network, the water quality samples at the tail end where the mixed connection, inflow and infiltration occur and the midway node are detected, and based on a water quality characteristic factor method, the mixed connection reason of the system where the mixed connection, inflow and infiltration occur is qualitatively judged, so as to obtain the type of the system where the mixed connection, inflow and infiltration occur, including:
collecting water quality characteristic factor data of domestic sewage, industrial wastewater, rainfall runoff and underground water based on a water quality characteristic factor method, and respectively establishing a domestic sewage evaluation set, an industrial wastewater evaluation set, a rainfall runoff evaluation set and an underground/surface water evaluation set;
collecting characteristic factor data of the water quality of the discharge port at the discharge port end;
and qualitatively judging the quality of the mixed water based on a membership degree judging method of a fuzzy mathematical method and the characteristic factor data of the water quality at the discharge port of the discharge port, and qualitatively evaluating the mixed sewage and underground water infiltration degree.
Optionally, the quantitatively evaluating the percentage of mixed junction, inflow and infiltration based on the type and uncertainty model of the system, and determining the degree of mixed junction, inflow and infiltration of the pipe network of the drainage system, includes:
establishing a Bayesian model based on uncertainty, quantitatively calculating the proportion of inflow sewage and infiltration underground water at the discharge port, and quantitatively evaluating the percentage of mixed connection, inflow and infiltration;
and determining the mixed access, inflow and infiltration degrees of the drainage system according to the mixed access, inflow and infiltration percentages and the preset mixed access, inflow and infiltration degree standards of the drainage system.
Optionally, the water quality characteristic factor of the domestic sewage is at least one of TN, COD and acesulfame potassium indexes; the water quality characteristic factor of the rainwater runoff is an electrical conductivity index; the water quality characteristic factor of the underground water is a hardness index.
Optionally, the mixed connection, inflow and infiltration conditions of the drainage system pipe network include: the mixed connection, inflow and infiltration types of a drainage system pipe network;
the method further comprises the following steps:
and mutually verifying according to the mixed connection and inflow, the infiltration type of the drainage system pipe network, the type of the system generating the mixed connection and inflow and the infiltration, and the mixed connection and inflow and infiltration degree of the drainage system pipe network.
In another aspect, an apparatus for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network comprises: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the method for evaluating the mixed connection, inflow and infiltration degree of the drainage system pipe network;
the processor is used for calling and executing the computer program in the memory.
The invention has the beneficial effects that:
according to the method and the device for evaluating the mixed connection, inflow and infiltration degrees of the drainage system pipe network, provided by the embodiment of the invention, the mixed connection, inflow and infiltration conditions of the drainage system pipe network are preliminarily evaluated according to the conditions of the drainage port end or the midway node; when mixed connection, inflow and infiltration exist at any node of a drainage system pipe network, detecting a water quality sample of the node where the mixed connection, inflow and infiltration occur, and qualitatively judging the mixed connection reason of the node where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method to obtain the type of the node where the mixed connection, inflow and infiltration occur; and quantitatively evaluating the percentage of the mixed junction, inflow and infiltration based on the type and uncertainty model of the node, and determining the mixed junction, inflow and infiltration degree of the node. In the invention, the mixed access and infiltration conditions of the corresponding system are judged according to the conditions of the discharge port end or the midway node; when mixed connection, inflow and infiltration conditions occur at any node in the drainage system, a water quality sample of a tail end discharge port or a midway node is detected, and therefore the condition of sewage mixed connection or groundwater infiltration in the corresponding drainage system is qualitatively evaluated. The invention only needs to monitor two or more than two water quality characteristic factors at the discharge port end or the midway node, compared with other methods, the large-range detection is not needed, the fund, the resource investment and the economy are saved; the method does not need large-scale detection, is quick, saves time and cost, and is efficient.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for evaluating the mixed connection, inflow and infiltration degree of a pipe network of a drainage system according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another method for evaluating the mixed connection, inflow and infiltration degree of a pipe network of a drainage system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an evaluation device for mixed connection, inflow and infiltration degrees of a pipe network of a drainage system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
In order to at least solve the technical problem provided by the invention, the embodiment of the invention provides a method for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network.
Fig. 1 is a schematic flow chart of an evaluation method for mixed connection, inflow and infiltration degrees of a pipe network of a drainage system according to an embodiment of the present invention, and fig. 2 is a schematic flow chart of an evaluation method for mixed connection, inflow and infiltration degrees of a pipe network of a drainage system according to an embodiment of the present invention, referring to fig. 1 to fig. 2, the method according to an embodiment of the present invention may include the following steps:
s1, preliminarily evaluating the mixed connection, inflow and infiltration conditions of the drainage system pipe network according to the water quality condition of the drainage port end or the midway node.
In a specific implementation process, any drainage system pipe network to be judged can be defined as a target drainage system pipe network system, and the method for evaluating the mixed connection, inflow and infiltration degrees of the drainage system pipe network provided by the application is applied to the target drainage system pipe network system to evaluate the mixed connection, inflow and infiltration degrees. In the evaluation of the mixed connection, inflow and infiltration degree of the drainage system pipe network, firstly, the mixed connection, inflow and infiltration conditions of the drainage system pipe network can be preliminarily evaluated manually or intelligently (for example, the images are intelligently analyzed by acquiring the condition images of the drainage port); secondly, analyzing the sewage at the discharge port end by a water quality characteristic factor method, and qualitatively evaluating the types of mixed connection, inflow and infiltration; and finally, quantitatively evaluating and determining the mixed grafting, inflow and infiltration degrees by establishing an uncertainty model.
The drainage system can be a split-flow drainage system, or can be a combined-flow split-flow (such as a new continent, a sewer is connected by intelligent split-flow or cut-off originally), or a combined-flow split-flow (some changes or some changes are not changed), a combined-flow, a split-flow and other mixed-flow.
Wherein, the discharge port end can be a pipeline tail end discharge port; or performing upstream evaluation through midway nodes in the tracing and treatment process, and gradually eliminating.
In some embodiments, optionally, comprising: if the inspection well within the preset distance of the drainage port end or the midway node has no water flow in dry seasons, the drainage system where the drainage port end or the midway node is located does not have mixed connection or inflow infiltration; if the rainwater inspection well within the preset distance of the drainage port end has water flow in dry seasons, the drainage system in which the drainage port end is located has mixed connection or sewage pipeline communication;
when the drainage system at the drainage port end or the midway node is in mixed connection or pipeline communication, judging the relation between the water level of the inspection well and the water level of the parallel pipeline inspection well (if the parallel pipeline inspection well exists); if the water levels of the corresponding inspection wells are equal or close, the corresponding rain sewage pipelines are obviously in mixed connection or communication; if the water level difference of the inspection well is larger than a preset water level threshold value, sewage mixed connection or underground water infiltration exists in the drainage system;
mixed connection or inflow and infiltration of external water exist in the drainage system, and if the water in the inspection well is smelly and turbid, the drainage system is preliminarily judged to be a drainage system mainly of sewage/wastewater type; and if the water in the inspection well is odorless and clear, primarily judging that the drainage system is mainly a drainage system with inflow of underground water and infiltration.
For example, referring to fig. 2, step S1 may include the steps of:
s11, manually investigating the discharge openings and part of inspection wells at the upstream of the discharge openings through manual or intelligent investigation, and if the discharge openings and the nearby rainwater inspection wells are dry and have no water flow in dry seasons, supposing that the drainage systems where the discharge openings are located are not in mixed connection; if water flows exist in the drainage port and the nearby rainwater inspection well in dry seasons, the drainage system where the drainage port is located is presumed to have the conditions of mixed connection, inflow and infiltration, or the drainage system is communicated with the sewage system.
And S12, distinguishing the mixed connection and the communication. The method comprises the following steps that a sewage inspection well near a rainwater inspection well near a bank port is manually or intelligently inspected, and if the water level of the sewage inspection well and the water level of the rainwater inspection well are both at a high water level and are consistent, the rainwater system is communicated with the sewage system; if the difference between the water level of the sewage inspection well and the water level of the rainwater inspection well is obvious, the drainage system with the drainage port has the condition of sewage mixed connection or underground water infiltration.
S13, preliminary evaluation of the mixed grafting, inflow and infiltration degree. Carrying out sensory judgment on the inspection well in which the mixed connection, inflow and infiltration occur, and if the water in the inspection well is smelly and turbid, primarily judging that the drainage system is mainly a sewage mixed connection type drainage system; and if the water in the inspection well is clear and odorless, primarily judging that the drainage system is mainly a groundwater mixing type drainage system.
S2, when mixed connection, inflow and infiltration exist at any node of the drainage system pipe network, detecting water quality samples of the tail end and midway nodes where the mixed connection, inflow and infiltration occur, qualitatively judging the mixed connection reason of the system where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method, and obtaining the type of the system where the mixed connection, inflow and infiltration occur.
In some embodiments, optionally, comprising: collecting water quality characteristic factor data of domestic sewage, industrial wastewater, rainfall runoff and underground water based on a water quality characteristic factor method, and respectively establishing a domestic sewage evaluation set, an industrial wastewater evaluation set, a rainfall runoff evaluation set and an underground/surface water evaluation set;
collecting the characteristic factor data of the water quality of the discharge port at the discharge port end;
and qualitatively judging the quality of the mixed water based on a membership degree judging method of a fuzzy mathematical method and the characteristic factor data of the water quality at the discharge port of the discharge port, and qualitatively evaluating the mixed sewage and underground water infiltration degree.
For example, referring to fig. 2, step S2 may include the steps of:
s21, collecting the data of water quality characteristic factors (TN, COD, acesulfame, conductivity, hardness and the like) of local domestic sewage, industrial wastewater, underground water and rainwater runoff respectively, and carrying out statistical analysis on the distribution range.
S22, according to the data counted in the step S21, a domestic sewage, industrial wastewater, rainwater runoff and underground water evaluation set suitable for the research area is established.
And S23, collecting and counting the characteristic factor data of the water quality at the discharge port. Collecting the data of water quality characteristic factors (TN, COD, acesulfame, conductivity and hardness) of the mixed sewage at the discharge port, and statistically analyzing the distribution range.
And S24, establishing a water quality membership degree judgment method based on fuzzy mathematics, and qualitatively judging the quality of the mixed water.
Specifically, the following method may be employed:
firstly, establishing a factor set U-U of the mixed water sample according to a water quality data set of the mixed water sampleiFactor (i ═ 1, 2, …, n), which is an index involved in membership determination, i.e., data set of TN, COD, acesulfame, conductivity, and hardness. Secondly, respectively establishing an evaluation set V ═ V { V } for the distribution range of the water quality characteristic factors of the local domestic sewage, the rainwater runoff and the underground waterjJ ═ 1, 2, 3), where v1Evaluation set for domestic wastewater v2Set for rainwater flow evaluation, v3And (5) a groundwater evaluation set. Then, a fuzzy weight vector of the evaluation factor is determined, and since the importance degree of each water quality characteristic parameter is generally different, each characteristic parameter μ is determinediAssigned a respective weight ai(i-1, 2, …, n) constitutes a weight setA。aiThe determination method of (2) is as follows:
the weight value of the single factor is determined according to the formula (1):
in the formula: ciFactor muiThe measured concentration value of (a);
Sifactor muiAt v1、v2、v3A centralized statistical median;
Wifactor muiThe weight value of (2).
Normalizing the determined weight values, and determining the weight of the single factor according to formula (2):
the above n factor indexes, after calculating the weights respectively, form a 1 xn fuzzy weight set:
A={a1,a2,…,ai,…,an};
secondly, determining a single-factor evaluation matrix R, and firstly carrying out single-factor evaluation.
From one muiStarting from the evaluation, the evaluation set V is set as { V ═ V1,v2,v3Degree r of membership of domestic sewage, runoff or groundwaterijEvaluation was carried out. Mu.siThe membership function of the j-th water quality is shown as the formula (3):
in the formula:
rijfactor muiMembership degree of j-level water quality;
cifactor muiThe measured concentration value of (a);
sijfactor muiAnd j-th level water quality standard.
For factor muiThe results of the evaluation constitute a single-factor fuzzy evaluation set Ri=(ri1,ri2,ri3)。
According to the above calculation process, a fuzzy evaluation set corresponding to the factor set can be obtained, as shown in formula (4):
and finally, carrying out multi-factor comprehensive evaluation:
compounding the fuzzy weight vector A with a single-factor fuzzy evaluation matrix R to obtain a fuzzy comprehensive evaluation vector B of each evaluated object as shown in a formula (5):
B=A×R=(b1,b2,…,bm) Formula (5)
Wherein, bjThe evaluation index is called as an evaluation index, and is the membership degree of an evaluation object to the jth element in the evaluation set when the influence of all factors is comprehensively considered.
S3, quantitatively evaluating the percentage of mixed connection, inflow and infiltration based on the type and uncertainty model of the system, and determining the degree of mixed connection, inflow and infiltration of the drainage system pipe network.
In some embodiments, optionally, comprising:
establishing a Bayesian model based on uncertainty, quantitatively calculating the proportion of inflow sewage and infiltration underground water at the discharge port, and quantitatively evaluating the percentage of mixed connection, inflow and infiltration;
and determining the mixed access, inflow and infiltration degrees of the drainage system according to the mixed access, inflow and infiltration percentages and the preset mixed access, inflow and infiltration degree standards of the drainage system.
For example, referring to fig. 2, step S3 may include the steps of:
and S31, carrying out uncertainty analysis on the water quality data of the drainage port, establishing a Bayesian model based on uncertainty, and carrying out quantitative calculation on the sewage theory of the mixed connection of the tail end (drainage port) of the rainwater pipe network and the proportion of the infiltrated groundwater.
The expression of the bayesian model is shown in equation (6):
c ═ YX formula (6)
Wherein C ═ Ci]m×1The vector is the element composition vector of the receptor sample, namely, the mixed water sample; ciRepresents the observed concentration or load of the ith element;
Y=[yij]m×nis an element matrix of j mixed source samples (domestic sewage, industrial wastewater and underground water); y isijRepresenting the observed concentration or load of the ith characteristic element in the jth mixed source;
X=[xj]n×1is a source contribution matrix composed of j mixed sources, xjThe contribution of the jth mixed source to the mixed water is shown, and in the application, the contribution of the mixed source to the mixed water refers to the contribution of the mixed water of the mixed source to inflow and infiltration into a drainage system, and is referred to as the mixed contribution; m is the number of elements, and n is the number of mixed sources.
The simulation of the Bayesian model is realized by Winbugs software, the Winbugs software adopts a Markov chain Monte Carlo MCMC method to estimate the probability distribution of X and C, the MCMC takes unknown parameters as random variables in the calculation process, Gibbs sampling is used for continuous iteration, the Markov chain is generated by sampling from the complete conditional probability distribution, and the Metapolis algorithm is used for finally estimating the posterior distribution of the parameters.
X calculated by Winbgs softwarejNamely the contribution rate of different mixed sources (domestic sewage, industrial wastewater and underground water) to be connected into a drainage system. And calculating the hybrid ratio of each hybrid source according to the hybrid contribution rate of each hybrid source, as shown in formula (7):
it is worth noting that the misconnection contribution rate x calculated here is due to the presence of the water quality uncertainty of the misconnection waterjNot an exact number, but a 95% numberConfidence interval, hence, the misconnection ratio tjAnd also the distribution range of the ratio.
S32, according to the technical guidelines for urban black and odorous water treatment-drainage outlet, pipeline and inspection well treatment (see Table 1), the mixed access, inflow and infiltration degree of the regional drainage system are divided into three levels: severe mixed grafting (grade 3), severe mixed grafting (grade 2) and mild mixed grafting (grade 1).
TABLE 1 grading evaluation of the degree of area misconnection
Degree of mixed joint | Mixed water receiving quantity |
Severe hybrid (3 level) | Over 50 percent |
Moderate mixed connection (2 level) | >30-50% |
Light mixed joint (1 level) | >0-30% |
And then, evaluating the mixed connection proportion tj of each mixed connection source according to the standard in the table 1 to obtain the mixed connection, inflow and infiltration degree grades of the selected drainage system.
In some embodiments, optionally, the mixed connection, inflow, and infiltration conditions of the drainage system pipe network include: the mixed connection, inflow and infiltration types of a drainage system pipe network; the method further comprises the following steps: and verifying the mixed connection and inflow, the infiltration type, the type of the system in which the mixed connection and inflow and the infiltration occur, and the mixed connection and inflow and infiltration degree of the drainage system pipe network. If the results of the primary evaluation, the qualitative evaluation and the quantitative evaluation are consistent, the verification is passed; otherwise, the sample is collected again for testing.
According to the invention, the sewage mixed-connection proportion and the groundwater infiltration proportion in the rainwater pipe network are calculated scientifically in a mode of combining three methods of manual investigation, qualitative evaluation and quantitative evaluation.
According to the method for evaluating the mixed connection, inflow and infiltration degrees of the tail end of the drainage system pipe network, the mixed connection, inflow and infiltration conditions of the nodes at the tail end of the drainage system pipe network are preliminarily evaluated according to the conditions of the drainage port end; when mixed connection, inflow and infiltration exist at any node at the tail end of a drainage system pipe network, detecting a water quality sample of the node where the mixed connection, inflow and infiltration occur, qualitatively judging the mixed connection reason of the node where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method, and obtaining the type of the node where the mixed connection, inflow and infiltration occur; and quantitatively evaluating the mixed connection percentage, inflow and infiltration percentages based on the type and the uncertainty model of the node, and determining the mixed connection, inflow and infiltration degrees of the node. The method for evaluating the mixed access infiltration degree by fuzzy mathematics multi-factor statutory can effectively avoid misjudgment of the single factor evaluation method on the accidental situation. The method for quantitatively calculating the mixed infiltration proportion by using the Bayesian CMB model can consider the uncertainty of water quality and the uncertainty caused by sampling errors and simulation errors, and can scientifically and quantitatively calculate the proportion of sewage mixed infiltration and groundwater infiltration. The invention only needs to monitor two water quality characteristic factors at the discharge port end, and has economical efficiency compared with other methods.
Based on a general inventive concept, the embodiment of the invention also provides a device for evaluating the mixed connection, inflow and infiltration degrees of the tail end of the pipe network of the drainage system.
Fig. 3 is a schematic structural diagram of an apparatus for evaluating a mixed connection, inflow, and infiltration degree at a tail end of a pipe network of a drainage system according to an embodiment of the present invention, and referring to fig. 3, an apparatus for evaluating a mixed connection, inflow, and infiltration degree at a tail end of a pipe network of a drainage system according to an embodiment of the present invention includes: a processor 31, and a memory 32 connected to the processor.
The memory 32 is used for storing a computer program, and the computer program is at least used for the method for evaluating the mixed connection, inflow and infiltration degree of the tail end of the pipe network of the drainage system in any embodiment;
the processor 31 is used to invoke and execute the computer program in the memory.
Embodiments of the present invention also provide a storage medium based on one general inventive concept.
A storage medium stores a computer program, and when the computer program is executed by a processor, the method realizes each step of the method for evaluating the mixed connection, inflow and infiltration degree of the tail end of the pipe network of the drainage system.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (7)
1. A method for evaluating the mixed connection, inflow and infiltration degree of a drainage system pipe network is characterized by comprising the following steps:
primarily evaluating the mixed connection, inflow and infiltration conditions of a drainage system pipe network according to the water quality condition of a drainage port end or a midway node;
when mixed connection, inflow and infiltration exist at any node of the drainage system pipe network, detecting water quality samples of tail ends and midway nodes where the mixed connection, inflow and infiltration occur, qualitatively judging mixed connection reasons of the system where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method, and obtaining types of the system where the mixed connection, inflow and infiltration occur;
and quantitatively evaluating the percentage of mixed connection, inflow and infiltration based on the type and uncertainty model of the system, and determining the degree of mixed connection, inflow and infiltration of the drainage system pipe network.
2. The method according to claim 1, wherein the preliminary evaluation of the mixed connection, inflow and infiltration conditions of the drainage system pipe network according to the water quality conditions of the drainage port end or the midway node comprises the following steps:
if the inspection well within the preset distance of the discharge port end or the midway node has no water flow in dry seasons, the drainage system where the discharge port end or the midway node is located does not have mixed connection or inflow infiltration; if the rainwater inspection well within the preset distance of the drainage port end has water flow in dry seasons, the drainage system in which the drainage port end is located has mixed connection or sewage pipeline communication;
when the drainage system where the drainage port end or the midway node is located is in mixed connection or pipeline communication, judging the relation between the water level of the inspection well and the water level of the parallel pipeline inspection well; if the water levels of the corresponding inspection wells are equal or close, the corresponding rain sewage pipelines are obviously in mixed connection or communication; if the water level difference of the inspection well is larger than a preset water level threshold value, sewage mixed connection or underground water infiltration exists in the drainage system;
mixed connection or inflow and infiltration of external water exist in the drainage system, and if the water in the inspection well is smelly and turbid, the drainage system is preliminarily judged to be a drainage system mainly in a sewage/wastewater type; and if the water in the inspection well is odorless and clear, primarily judging that the drainage system is mainly a drainage system with inflow and infiltration of underground water.
3. The method according to claim 1, wherein when mixed connection, inflow and infiltration exist at any node of the drainage system pipe network, water quality samples of the tail end and the midway nodes where the mixed connection, inflow and infiltration occur are detected, and qualitative judgment is performed on mixed connection reasons of the system where the mixed connection, inflow and infiltration occur based on a water quality characteristic factor method, so as to obtain types of the system where the mixed connection, inflow and infiltration occur, the method comprises the following steps:
collecting water quality characteristic factor data of domestic sewage, industrial wastewater, rainfall runoff and underground water based on a water quality characteristic factor method, and respectively establishing a domestic sewage evaluation set, an industrial wastewater evaluation set, a rainfall runoff evaluation set and an underground/surface water evaluation set;
collecting characteristic factor data of the water quality of the discharge port at the discharge port end;
and qualitatively judging the quality of the mixed water based on a membership degree judging method of a fuzzy mathematical method and the characteristic factor data of the water quality at the discharge port of the discharge port, and qualitatively evaluating the mixed sewage and underground water infiltration degree.
4. The method of claim 1, wherein the determining the mixed junction and inflow and infiltration degree of the drainage system pipe network by quantitatively evaluating the mixed junction and inflow and infiltration percentages based on the type of the system and an uncertainty model comprises:
establishing a Bayesian model based on uncertainty, quantitatively calculating the proportion of inflow sewage and infiltration underground water at the discharge port, and quantitatively evaluating the percentage of mixed connection, inflow and infiltration;
and determining the mixed access, inflow and infiltration degrees of the drainage system according to the mixed access, inflow and infiltration percentages and the preset mixed access, inflow and infiltration degree standards of the drainage system.
5. The method according to claim 3, wherein the water quality characteristic factor of the domestic sewage is at least one of TN, COD and acesulfame potassium indexes; the water quality characteristic factor of the rainwater runoff is an electrical conductivity index; the water quality characteristic factor of the underground water is a hardness index.
6. The method of claim 1, wherein the mixed access and inflow and infiltration conditions of the drainage system pipe network comprise: the mixed connection, inflow and infiltration types of a drainage system pipe network;
the method further comprises the following steps:
and mutually verifying according to the mixed connection and inflow, the infiltration type of the drainage system pipe network, the type of the system generating the mixed connection and inflow and the infiltration, and the mixed connection and inflow and infiltration degree of the drainage system pipe network.
7. The utility model provides an evaluation equipment of drainage system pipe network misconnection and inflow, infiltration degree which characterized in that includes: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the method for evaluating the mixed connection, inflow and infiltration degree of the drainage system pipe network according to any one of claims 1 to 6;
the processor is used for calling and executing the computer program in the memory.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107066782A (en) * | 2016-11-08 | 2017-08-18 | 北京师范大学 | Based on GRRM model geohydrologic unit risk assessment of groundwater environment methods |
CN107895100A (en) * | 2017-04-06 | 2018-04-10 | 中南大学 | A kind of quality in watershed integrated evaluating method and system |
CN108362356A (en) * | 2018-01-25 | 2018-08-03 | 上海水顿智能科技有限公司 | The method and system of analysis conduit rain dirt hybrid junction distribution |
CN108376318A (en) * | 2018-02-28 | 2018-08-07 | 清华大学 | A kind of drainage pipeline networks, which becomes a mandarin, infiltrates appraisal procedure and system |
KR102031714B1 (en) * | 2018-10-25 | 2019-10-14 | 서울시립대학교 산학협력단 | system for leakage detection based on hydraulic analysis in water supply networks |
CN111667168A (en) * | 2020-06-04 | 2020-09-15 | 同济大学 | Method for diagnosing running state of drainage system based on liquid level monitoring |
CN111932403A (en) * | 2020-08-18 | 2020-11-13 | 中建水务环保有限公司 | Urban sewage pipe network and water environment quality-improving and efficiency-increasing technology integration method |
-
2021
- 2021-05-13 CN CN202110521591.7A patent/CN113111478B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107066782A (en) * | 2016-11-08 | 2017-08-18 | 北京师范大学 | Based on GRRM model geohydrologic unit risk assessment of groundwater environment methods |
CN107895100A (en) * | 2017-04-06 | 2018-04-10 | 中南大学 | A kind of quality in watershed integrated evaluating method and system |
CN108362356A (en) * | 2018-01-25 | 2018-08-03 | 上海水顿智能科技有限公司 | The method and system of analysis conduit rain dirt hybrid junction distribution |
CN108376318A (en) * | 2018-02-28 | 2018-08-07 | 清华大学 | A kind of drainage pipeline networks, which becomes a mandarin, infiltrates appraisal procedure and system |
KR102031714B1 (en) * | 2018-10-25 | 2019-10-14 | 서울시립대학교 산학협력단 | system for leakage detection based on hydraulic analysis in water supply networks |
CN111667168A (en) * | 2020-06-04 | 2020-09-15 | 同济大学 | Method for diagnosing running state of drainage system based on liquid level monitoring |
CN111932403A (en) * | 2020-08-18 | 2020-11-13 | 中建水务环保有限公司 | Urban sewage pipe network and water environment quality-improving and efficiency-increasing technology integration method |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113704932A (en) * | 2021-07-15 | 2021-11-26 | 中国电建集团华东勘测设计研究院有限公司 | Quantitative evaluation method for external water mixing of urban sewage pipe network based on stable isotope |
CN114324800A (en) * | 2021-12-29 | 2022-04-12 | 上海市城市排水有限公司 | Drainage pipeline water inflow monitoring method and system and storage medium |
CN114370611A (en) * | 2022-01-17 | 2022-04-19 | 四创科技有限公司 | Pipe network inflow infiltration monitoring method and terminal |
CN114370611B (en) * | 2022-01-17 | 2024-04-12 | 四创科技有限公司 | Pipe network inflow and infiltration monitoring method and terminal |
CN114624407A (en) * | 2022-02-24 | 2022-06-14 | 南宁市勘测设计院集团有限公司 | Typical plot based outside water volume measuring and calculating method for plot sewage system |
CN114624407B (en) * | 2022-02-24 | 2024-05-10 | 南宁市勘测设计院集团有限公司 | Method for measuring and calculating external water quantity of district sewage system based on typical land parcels |
CN115012501A (en) * | 2022-06-09 | 2022-09-06 | 长江生态环保集团有限公司 | Detection system and method for defects of drainage pipe network |
CN115853093A (en) * | 2022-11-21 | 2023-03-28 | 合肥中科国禹智能工程有限公司 | Drainage pipe network dynamic detection method and system capable of identifying rain and sewage mixed connection |
CN115853093B (en) * | 2022-11-21 | 2024-02-27 | 合肥中科国禹智能工程有限公司 | Drainage pipe network dynamic detection method and system capable of identifying rain and sewage hybrid connection |
CN115876409A (en) * | 2023-02-16 | 2023-03-31 | 广州中工水务信息科技有限公司 | Sewage pipeline leakage monitoring and analyzing system and method |
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CN117151391B (en) * | 2023-08-30 | 2024-07-12 | 深圳市水务工程检测有限公司 | Environment pollution monitoring system and method based on Internet of things |
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